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Volume 4, issue 1
SOIL, 4, 1–22, 2018
https://doi.org/10.5194/soil-4-1-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
SOIL, 4, 1–22, 2018
https://doi.org/10.5194/soil-4-1-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.

Original research article 10 Jan 2018

Original research article | 10 Jan 2018

Evaluation of digital soil mapping approaches with large sets of environmental covariates

Madlene Nussbaum et al.

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after minor revisions (review by Editor) (05 Sep 2017) by Bas van Wesemael
AR by Madlene Nussbaum on behalf of the Authors (11 Oct 2017)  Author's response    Manuscript
ED: Publish as is (08 Nov 2017) by Bas van Wesemael
ED: Publish as is (24 Nov 2017) by Johan Six(Executive Editor)
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Short summary
This paper presents an extensive evaluation of digital soil mapping (DSM) tools. Recently, large sets of environmental covariates (e.g. from analysis of terrain on multiple scales) have become more common for DSM. Many DSM studies, however, only compared DSM methods using less than 30 covariates or tested approaches on few responses. We built DSM models from 300–500 covariates using six approaches that are either popular in DSM or promising for large covariate sets.
This paper presents an extensive evaluation of digital soil mapping (DSM) tools. Recently, large...
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